This paper introduces a newly curated dataset named “BDMediLeaves” that includes a
diverse collection of leaf images of ten distinct medicinal plants from various regions in …

Microscopic image segmentation (MIS) is a fundamental task in medical imaging and
biological research, essential for precise analysis of cellular structures and tissues. Despite …

Biomedical image analysis has played a pivotal role in modern healthcare by facilitating
automated analysis and interpretation of medical images. Biomedical image classification is …

Simple Summary While melanoma accounts for 4% of skin cancer cases, it causes 75% of
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …

The dual-branch structure has made impressive achievements in the field of semantic
segmentation. However, the size of feature map tends to be kept constant in the single …

Objective. Multi-contrast magnetic resonance imaging (MC MRI) can obtain more
comprehensive anatomical information of the same scanning object but requires a longer …

Segmenting polyps in colonoscopy images is essential for the early identification and
diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep …

Retinal vessel segmentation plays a vital role in the clinical diagnosis of ophthalmic
diseases. Despite convolutional neural networks (CNNs) excelling in this task, challenges …

Skin cancer is a widespread disease that typically develops on the skin due to frequent
exposure to sunlight. Although cancer can appear on any part of the human body, skin …

Identification of medicinal plant leaves is very crucial as their cultivation and production are
essential for the medicine industry. Many different classes of medicinal leaves look identical …